Software Architect – Generative AI & Agentic Solutions

We are Merlin Digital Partner ! A leading IT and Digital headhunting company who stands out from the crowd, boasting over a decade of experience. We've successfully collaborated and played a pivotal role in the growth of industry heavyweights such as Wallapop, Glovo, Banc Sabadell, and Duracell, among others. Our emphasis lies in people-centric approaches and optimizing the selection processes . Our mission is to revolutionize companies by seamlessly integrating top-tier talent . What sets us apart is our in-depth understanding of each partner , addressing not only their needs but also capturing their essence. The Opportunity Our partner is a leading international technology and business consultancy that helps large enterprises with their digital transformation , combining strategy, design and engineering with a practical, business-driven approach. Within its Architecture practice , the team defines the technology strategy and cloud-native platforms behind its clients' most ambitious transformation programmes. They are now growing their capability in Generative AI and agent-based solutions , and are looking for a Software Architect to lead this area. Mission As a Software Architect specialised in GenAI and Agentic solutions , your mission will be to design secure, scalable and well-governed AI solutions for enterprise environments, connecting systems, data, APIs, cloud platforms and business needs . The focus is not on years with one specific tool. What matters is a strong architecture foundation and the ability to apply it to new AI patterns , taking solutions beyond the proof of concept and into real production. You will work hand in hand with development, data, cloud, cybersecurity and business teams , acting as the technical reference in architecture discussions. Responsibilities Designing reference architectures for GenAI and agent-based solutions , defining how models, data, APIs, tools and business processes fit together Assessing use cases and recommending the right pattern for each one : knowledge assistants, workflow automation, tool-using agents, multi-agent systems or AI embedded in existing products Defining how agents securely access corporate data and systems : permissions, access control, secrets management, traceability and action boundaries Designing knowledge retrieval components ( RAG, vector indexes, context management and data quality) that deliver relevant and verifiable answers Setting up evaluation and observability frameworks for AI solutions: output quality, flow behaviour, cost, latency , incidents and level of human intervention Integrating AI capabilities with backend architectures, APIs, transactional systems and cloud platforms , making sure solutions are operable and maintainable in production Creating reusable patterns, standards and technical guidelines to scale the responsible adoption of GenAI across projects and industries Leading architecture conversations with technical and…